Why is it important to use a virtual environment when setting up Python for Selenium testing?
Think about how different projects might need different versions of packages.
Virtual environments keep dependencies separate for each project, preventing version conflicts and ensuring consistent test runs.
What will be the output of running the following command in a terminal after setting up Python 3.12?
python3 --version
Check which Python version you installed and how to verify it.
The command python3 --version shows the installed Python 3 version, which should be 3.12.x if installed correctly.
Which command correctly installs Selenium WebDriver in a Python virtual environment?
Remember the exact package name used in Python's package index.
The correct package name is selenium. The command pip install selenium installs it properly.
Given this Python Selenium code snippet, what error will occur if the WebDriver executable path is incorrect?
from selenium import webdriver
browser = webdriver.Chrome(executable_path='/wrong/path/chromedriver')
browser.get('https://example.com')from selenium import webdriver browser = webdriver.Chrome(executable_path='/wrong/path/chromedriver') browser.get('https://example.com')
Think about what happens if the driver file is not found.
If the path to the ChromeDriver is wrong, Selenium raises a WebDriverException indicating the driver executable is missing or not found in PATH.
In a Python Selenium project, which setup method ensures tests run reliably across different machines and environments?
Consider portability, dependency management, and automation.
Using virtual environments with requirements.txt ensures consistent dependencies. Driver manager libraries automate WebDriver handling, making tests portable and reliable.